Evidence map›Paper›PMID 21994225›Full record

ArticleBioinformatics (Oxford, England)2011

Pico-inplace-inversions between human and chimpanzee.

Minmei Hou, Ping Yao, Angela Antonou, Mitrick A Johns

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. The Landscape of Micro-Inversions Provide Clues for Population Genetic Analysis of Humans.Interdisciplinary sciences, computational life sciences · 2020
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Minmei HouDepartment of Computer Science, Northern Illinois University, DeKalb, IL 60115, USA. mhou@cs.niu.edu
Ping Yao
Angela Antonou
Mitrick A Johns

Funding

Detect small and very small in-space inversions and improve alignment qualityR15HG005913 · NHGRI · NORTHERN ILLINOIS UNIVERSITY · PI HOU, MINMEI · 2010 to 2010
$316k
NHGRI NIH HHS R15 HG005913
6 · The paper itself

Abstract

motivationThere have been several studies on the micro-inversions between human and chimpanzee, but there are large discrepancies among their results. Furthermore, all of them rely on alignment procedures or existing alignment results to identify inversions. However, the core alignment procedures do not take very small inversions into consideration. Therefore, their analyses cannot find inversions that are too small to be detected by a classic aligner. We call such inversions pico-inversions.

resultsWe re-analyzed human-chimpanzee alignment from the UCSC Genome Browser for micro-inplace-inversions and screened for pico-inplace-inversions using a likelihood ratio test. We report that the quantity of inplace-inversions between human and chimpanzee is substantially greater than what had previously been discovered. We also present the software tool PicoInversionMiner to detect pico-inplace-inversions between closely related species. AVAILABILITY: Software tools, scripts and result data are available at http://faculty.cs.niu.edu/~hou/PicoInversion.html. CONTACT: mhou@cs.niu.edu.

Indexed as

Chromosome InversionEvolution, MolecularAnimalsGenomeHumansPan troglodytesSequence AlignmentSoftware

Identifiers

PMID21994225
PMCPMC3223364

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.